In view of the fast and effective quality inspection requirement of IOT technology, based on the inherent communication protocol and electrical interface of the gage, we develop the digital measuring tool networking and data acquisition technology based on wireless technology, and integrate data acquisition of different digital display tools by Bluetooth technology.Finally, accurate uploading of measurement data has been realized, and the reliability and validity of the method are verified.
Since some physiological signals, such as EEG are generated from high dimensional chaotic system, low-dimensional chaos theories and algorithms are not suitable for them. To make feasible application of such theories and algorithms to high-dimensional system, a nonlinear technique called Principal Component Analysis based on Projection Pursuit (PP PCA) is introduced, which decomposes any signal into an orthogonal linear expansion of waveforms. These waveforms are selected to best match the signal structure. First, an application of PP PCA to linearly and nonlinearly mixed noisy periodical signals is described. Next, multiple Lorenz attractor is formed. PP PCA is performed to simplify this high-dimensional system. Estimation of correlation dimension(D2) shows its effectiveness in reducing dimension, to make a simpler system. The important original information is also retained discussed. This simulation proves that it is possible to further apply PP PCA to high-dimensional chaos in EEG.
Today, Erasure Coding is one of the most significant techniques widely used in distributed systems because it can improve reliability for large amounts of data with low storage overhead. However, when the distributed system encounters a large number of data loss in stripes and requires batch-stripes data recovery, current data recovery methods either repeat the single-stripe recovery method or only optimize partial stripe recovery when recovering large-scale stripes, which incurs heavy upload and download repair traffics and imbalanced load, affecting the efficiency of fault recovery and wasting additional resources. In this paper, we propose BPR, an Erasure Coding batch parallel repair approach for distributed storage systems. BPR reduces cross-rack network transfer time and increases recovery throughput by classifying the stripes and recovering the data of stripes in batches through the forward and reverse parallel data recovery. The experiment results show that for large-scale stripes recovery, BPR reduces the cross-rack network transfer time by up to 10% and increases the recovery throughput by up to 8% compared with the rPDL in some scenarios.
This article written with a guide of a basic theory of modern architectural aesthetics, aesthetic psychology, constitute the basic principles of practice of science and art to use as the core to form. Combined with the author’ feelings and experiences and a large number of examples from architectural education, design practice and research in the professional career, we grouped the creation of contemporary architecture modeling skills into four elements, in order to meet the desire for the students and architects to increase their own artistic creativity and build up innovation capability, and a way to follow a truly theory and practice.
From the perspective of aesthetics in art, this paper serves as a discussion on the different beauty conveyed to people by “word pronouncing” and “singing” in the art of singing. The beauty in the former lies in the fullness of articulation while that of the latter in the vividness and fusion of sound and feelings. It concludes in this sense that it is of vital importance to pay great attention to the correct way of word pronounciation and the improvement of the singers' cultural qualities.
Artists often want to change the colors of an image to achieve a particular aesthetic goal. For example, they might limit colors to a warm or cool color scheme to create an image with a certain mood or feeling. Gamut masking is a technique that artists use to limit the set of colors they can paint with. They draw a mask over a color wheel and only use the hues within the mask. However, creating the color palette from the mask and applying the colors to the image requires skill. We propose an interactive tool for gamut masking that allows amateur artists to create an image with a desired mood or feeling. Our system extracts a 3D color gamut from the 2D user-drawn mask and maps the image to this gamut. The user can draw a different gamut mask or locally refine the image colors. Our voxel grid gamut representation allows us to represent gamuts of any shape, and our cluster-based image representation allows the user to change colors locally.
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